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Proceedings Paper

Three-dimensional scene interpretation through information fusion
Author(s): Sylvia S. Shen
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Paper Abstract

This paper addresses the problems of how to efficiently extract information from different data sources and how to fuse the information to achieve a more complete and accurate interpretation of the underlying 3-D scene. This paper describes an integrated approach to 3-D image interpretation. The approach is to first obtain region information by applying a multi-resolution segmentation technique to a monocular image. The elevation information is then extracted by applying an edge-based matching technique to a stereo pair covering the same scene. The region information the elevation information and the a priori knowledge about the scene are then integrated by using a rule-based scheme to classify the various objects in the scene. Results of applying this integrated technique to an overhead visible urban scene are presented. 1.

Paper Details

Date Published: 1 February 1991
PDF: 7 pages
Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); doi: 10.1117/12.25235
Show Author Affiliations
Sylvia S. Shen, Lockheed Palo Alto Research Lab. (United States)

Published in SPIE Proceedings Vol. 1382:
Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods
David P. Casasent, Editor(s)

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